The Jupyter Project revolutionized the Data Science field, speeding up the exploration of data. With a progressive approach another interesting phenomenon occurred: even also the area of Data Engineering improved with the introduction of Jupyter. The deployment of Jupyter in the Infocert’s Data Engineering team and the benefits grew as soon as it became the …
TAC scans are an important diagnostic tool for the screening, diagnosis and evaluation of Covid-19 induced pneumonia cases. Poliambulanza Brescia and SORINT.tek are developing a system for the collecting of CT scans and their automatic annotation to identify areas with injuries associated to the presence of pneumonia. The system can be used for case screening …
A small introduction to the world of chatbots and NLP. An excellent opportunity for anyone who is interested in the subject, but does not know where to start. After a brief introduction to the world of chatbots and NLP, the basic concepts will be presented, and finally the use of Rasa to create a simple …
The Sklearn module Pipeline is a handy tool to chain processing and prediction step together in a whole block. It makes Data Scientist life easier. A brief introduction of the module and its methods together with few practical examples. Machine Learning Pipelines with Sklearn
An asset management and operation intelligence platform is one of the key components of the path to digitization, to speed up data acquisition, processing and analysis processes and to translate the Internet of Things into business value. A concrete case of the use of the MangroviaIot solution in partnership with Valtellina for the Iren group …
Energy management & Smart metering: from infrastructure to data management Read More »
MangroviaIoT is the result of many years of experience in software development and advanced analytics in the Enterprise IoT sector. It’s an asset management and operation intelligence IoT platform: a solution aimed at improving business processes, of fast implementation, scalable and flexible, and that is capable of adapting itself to heterogenous contexts.
We offer a supervisory ANN-MPC controller for residential buildings, that is able to simultaneously minimize the energy consumption and cost and to maintain the desired thermal comfort, while considering people’s expectations and physical constraints like the energy price and the power limitations. The model, when applied to a building with an automatic HVAC system controller, …
Artificial Neural Network Based Predictive Control applied to Residential Buildings Read More »
Medical Imaging with Deep Learning (MIDL) – London, 8th-10th July 2019 We researched conditional networks to screen Whole Slide Images (WSI) of sentinel lymph-nodes and to segment areas which might contain metastatic lesions. The network output is intended for a subsequent inspection by a human pathologist. The method is the basis for a more interactive …
Conditional networks for screening of breast cancer metastases in lymph nodes Read More »
A Smart Metering System is an intelligent network through which an advanced and efficient measurement system is able to remotely control and manage end-user counters. It consists of three basic elements – the meter, a communication network and a control center – for collecting information from meters, validate such information and activate the computerized processes …
Tra i molti benefici che la digitalizzazione dell’industria può portare vi è la possibilità di ridurre i costi di manutenzione e incrementare l’affidabilità dei macchinari attraverso la Smart Maintenance. Questo termine spesso usato come sinonimo di Predictive Maintenance indica la capacità di effettuare la manutenzione dei macchinari solo quando effettivamente necessario e quindi minimizzando sia …
